Madalin-Dorin Pop | Politehnica University of Timisoara (original) (raw)

Papers by Madalin-Dorin Pop

ACTA TECHNICA NAPOCENSIS Series: Applied Mathematics, Mechanics, and Engineering, 2022

The increasing complexity and autonomy of hardware systems make the verification of the functiona... more The increasing complexity and autonomy of hardware systems make the verification of the functional safety of the entire system, as well as the individual component, a challenging operation, highlighting the need for a synergy concept between FTA, FMEA, and FMEDA. This article provides a model-based risk analysis according to the ISO 26262 standard. Its aim is to develop, with the help of the APIS IQ-RM Tool, the analysis of an existing system in the vehicle. By using the unified safety analysis model proposed in this article, an improvement in the process of identifying possible defects that may occur in a system developed in the automotive industry has been demonstrated.

Sensors

The transition to intelligent transportation systems (ITSs) is necessary to improve traffic flow ... more The transition to intelligent transportation systems (ITSs) is necessary to improve traffic flow in urban areas and reduce traffic congestion. Traffic modeling simplifies the understanding of the traffic paradigm and helps researchers to estimate traffic behavior and identify appropriate solutions for traffic control. One of the most used traffic models is the car-following model, which aims to control the movement of a vehicle based on the behavior of the vehicle ahead while ensuring collision avoidance. Differences between the simulated and observed model are present because the modeling process is affected by uncertainties. Furthermore, the measurement of traffic parameters also introduces uncertainties through measurement errors. To ensure that a simulation model fully replicates the observed model, it is necessary to have a calibration process that applies the appropriate compensation values to the simulation model parameters to reduce the differences compared to the observed m...

Proceedings of the 18th International Conference on Software Technologies (ICSOFT 2023), 2023

Safety evaluations represent an important aspect in the development of functional safety (FuSa) a... more Safety evaluations represent an important aspect in the development of functional safety (FuSa) automotive projects. The present paper aims to propose a quality engineering framework for automotive projects that uses as input the Failure Mode Effects Analysis (FMEA) and Fault Tree Analysis (FTA) and further applies the Dependent Failure Analysis (DFA) method. More focused attention is also directed toward the impact analysis step during the development phase of a project and not only. By combining both these goals and with the help of the APIS IQ-RM interface, in the end, the paper presents a case study on how to improve an existing system. Furthermore, the proposed approach ensures complete traceability within the project by adding links between the APIS model and the representative test cases for each component.

EDULEARN proceedings, Jul 1, 2021

INTED proceedings, Mar 1, 2021

Apple Academic Press eBooks, Apr 16, 2023

2022 IEEE 22nd International Symposium on Computational Intelligence and Informatics and 8th IEEE International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics (CINTI-MACRo)

IOP Conference Series: Materials Science and Engineering, 2022

Smart mobility represents the future for many of today’s cities and is part of the smart city con... more Smart mobility represents the future for many of today’s cities and is part of the smart city concept. Besides all its characteristics, the smart city concept aims to use the IoT (Internet of Things) technology to improve the citizens quality of life through a secure and efficient administration of city resources. The exponential growth of population and urbanization creates many challenges, especially from a mobility perspective. The main challenge in this direction is to ensure a sustainable transportation system. The objective of this paper is to present a survey on the sustainability assurance for smart mobility systems by using the blockchain technology. Moreover, this study proposes a conceptual model for a sustainable smart mobility system that implies the usage of blockchain technology. Widely known through its connection with bitcoin and other cryptocurrencies, blockchain can serve the safety and security requirements that are specific to intelligent transportation systems ...

EDULEARN Proceedings, 2021

Sustainability

During the COVID-19 pandemic, due to the high infection rates, in some periods, a hybrid or total... more During the COVID-19 pandemic, due to the high infection rates, in some periods, a hybrid or totally online educational system was used. In both types of fully online and hybrid educational processes, the need for online educational platforms arose. This research aims to provide a comparative overview of the expectations for these platforms using the responses of two successive generations of students as input by applying the Kano methodology. Furthermore, this article performs a Fong test as a relevance check to identify the features for which the Kano analysis results are statistically significant. The results of the analysis show that the expectations of students are more related to the features that describe their access to administrative resources and the technical-related features. This can be explained through a permanent need, independent of the chosen educational system (i.e., face-to-face, fully online, or hybrid) and their field of study. The use of virtual reality (VR) te...

Sustainability, 2022

This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY

2022 IEEE Technology and Engineering Management Conference (TEMSCON EUROPE)

2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)

Many cities around the world implement the Intelligent Transportation Systems (ITS) concept to re... more Many cities around the world implement the Intelligent Transportation Systems (ITS) concept to reduce road traffic congestion. This concept implies the usage of Internet of Things (IoT) technologies to ensure a better traffic flow, especially in crowded urban areas. Sensors networks became part of road infrastructure and have as main responsibilities to collect real-time traffic data and to send them to Traffic Management Centres (TMCs) which control further the traffic lights timings. Today’s technologies meet some limitations in terms of efficiency. This paper starts with an overview of these limitations to create a path for discussing the challenges that the development of ITS will meet in the context of Future Networks (FN) 2030 concept. Based on this development path, the identification of current limitations and possible future challenges consists of an important step of this research. Further, the main contribution in this research is to show how the ITS shall adapt to meet the requirements of FN 2030 by providing an architecture for Future ITS 2030 that meets the general ITS needs.

2019 4th MEC International Conference on Big Data and Smart City (ICBDSC), 2019

Traffic became one of the highest nowadays problems. The number of cars on the road is continuall... more Traffic became one of the highest nowadays problems. The number of cars on the road is continually increasing and solutions to improve the traffic conditions are mandatory. We cannot prohibit people to use vehicles, but we can help them by using a traffic management system. The purpose of these systems is to update in real-time the timing of traffic signals, to reduce the traffic congestion. ITS (Intelligent Transportation Systems) is the concept associated with these approaches. The purpose of this paper is to bring a new solution to improve traffic conditions. Starting from a microscopic traffic model, we propose an improvement of OD (Origin-Destination) matrix estimation. This estimation will be capable to lead to better green intervals choosing for traffic signals. Our approach brings a new algorithm for traffic management, at traffic OD volumes estimation level, that combines the probabilistic concept of Bayes inference with absorbing Markov process. These estimations can be fu...

2020 International Conference Engineering Technologies and Computer Science (EnT), 2020

Traffic flow optimization is one of the main directions of research in transportation science, es... more Traffic flow optimization is one of the main directions of research in transportation science, especially in the ITS (Intelligent Transportation Systems) field. Mobility affects each of us through the congestion problems by travel time increasing. The current paper provides an analysis of traffic flow management at the intersection level, concentrating on the intersection configuration methods. The main parameters of interest are the number of vehicles that succeed to cross the road network and the evolution of travel time values. To determine the better decision for intersection configuration, in terms of reducing the level of congestion, a simulation will be created in AnyLogic Simulation Software. Road Traffic Library of the simulation tool will ensure the obtaining of relevant results and the results of their comparison will decide which intersection configuration method offers reduced travel times and a higher number of vehicles that are crossing the road network.

Sensors

Nowadays, the intelligent transportation concept has become one of the most important research fi... more Nowadays, the intelligent transportation concept has become one of the most important research fields. All of us depend on mobility, even when we talk about people, provide services, or move goods. Researchers have tried to create and test different transportation models that can optimize traffic flow through road networks and, implicitly, reduce travel times. To validate these new models, the necessity of having a calibration process defined has emerged. Calibration is mandatory in the modeling process because it ensures the achievement of a model closer to the real system. The purpose of this paper is to propose a new multidisciplinary approach combining microscopic traffic modeling theory with intelligent control systems concepts like fuzzy inference in the traffic model calibration. The chosen Takagi–Sugeno fuzzy inference system proves its adaptive capacity for real-time systems. This concept will be applied to the specific microscopic car-following model parameters in combinat...

Journal of Sensor and Actuator Networks

One of the current topics of interest in transportation science is the use of intelligent computa... more One of the current topics of interest in transportation science is the use of intelligent computation and IoT (Internet of Things) technologies. Researchers have proposed many approaches using these concepts, but the most widely used concept in road traffic modeling at the microscopic level is the car-following model. Knowing that the standard car-following model is single lane-oriented, the purpose of this paper is to present a fault detection analysis of the extension to a multiple lane car-following model that uses the Bayesian reasoning concept to estimate lane change behavior. After the application of the latter model on real traffic data retrieved from inductive loops placed on a road network, fault detection using parity equations was used. The standard car-following model applied separately for each lane showed the ability to perform a lane change action and to incorporate a new vehicle into the current lane. The results will highlight the advantages and the critical points ...

ITM Web of Conferences

The studies and real situations shown that the traffic congestion is one of nowadays highest prob... more The studies and real situations shown that the traffic congestion is one of nowadays highest problems. This problem wassolved in the past using roundabouts and traffic signals. Taking in account the number of cars that is increasing continuously, we can see that past approaches using traffic lights with fixed-time controller for traffic signals timing is obsolete. The present and the future is the using of Intelligent Transportation Systems. Traffic lights systems should be aware about realtime traffic parameters and should adapt accordingly to them. The purpose of this paper is to present a new approach to control traffic signals using rate-monotonic scheduling. Obtained results will be compared with the results obtained by using others real-time scheduling algorithms.

ACTA TECHNICA NAPOCENSIS Series: Applied Mathematics, Mechanics, and Engineering, 2022

The increasing complexity and autonomy of hardware systems make the verification of the functiona... more The increasing complexity and autonomy of hardware systems make the verification of the functional safety of the entire system, as well as the individual component, a challenging operation, highlighting the need for a synergy concept between FTA, FMEA, and FMEDA. This article provides a model-based risk analysis according to the ISO 26262 standard. Its aim is to develop, with the help of the APIS IQ-RM Tool, the analysis of an existing system in the vehicle. By using the unified safety analysis model proposed in this article, an improvement in the process of identifying possible defects that may occur in a system developed in the automotive industry has been demonstrated.

Sensors

The transition to intelligent transportation systems (ITSs) is necessary to improve traffic flow ... more The transition to intelligent transportation systems (ITSs) is necessary to improve traffic flow in urban areas and reduce traffic congestion. Traffic modeling simplifies the understanding of the traffic paradigm and helps researchers to estimate traffic behavior and identify appropriate solutions for traffic control. One of the most used traffic models is the car-following model, which aims to control the movement of a vehicle based on the behavior of the vehicle ahead while ensuring collision avoidance. Differences between the simulated and observed model are present because the modeling process is affected by uncertainties. Furthermore, the measurement of traffic parameters also introduces uncertainties through measurement errors. To ensure that a simulation model fully replicates the observed model, it is necessary to have a calibration process that applies the appropriate compensation values to the simulation model parameters to reduce the differences compared to the observed m...

Proceedings of the 18th International Conference on Software Technologies (ICSOFT 2023), 2023

Safety evaluations represent an important aspect in the development of functional safety (FuSa) a... more Safety evaluations represent an important aspect in the development of functional safety (FuSa) automotive projects. The present paper aims to propose a quality engineering framework for automotive projects that uses as input the Failure Mode Effects Analysis (FMEA) and Fault Tree Analysis (FTA) and further applies the Dependent Failure Analysis (DFA) method. More focused attention is also directed toward the impact analysis step during the development phase of a project and not only. By combining both these goals and with the help of the APIS IQ-RM interface, in the end, the paper presents a case study on how to improve an existing system. Furthermore, the proposed approach ensures complete traceability within the project by adding links between the APIS model and the representative test cases for each component.

EDULEARN proceedings, Jul 1, 2021

INTED proceedings, Mar 1, 2021

Apple Academic Press eBooks, Apr 16, 2023

2022 IEEE 22nd International Symposium on Computational Intelligence and Informatics and 8th IEEE International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics (CINTI-MACRo)

IOP Conference Series: Materials Science and Engineering, 2022

Smart mobility represents the future for many of today’s cities and is part of the smart city con... more Smart mobility represents the future for many of today’s cities and is part of the smart city concept. Besides all its characteristics, the smart city concept aims to use the IoT (Internet of Things) technology to improve the citizens quality of life through a secure and efficient administration of city resources. The exponential growth of population and urbanization creates many challenges, especially from a mobility perspective. The main challenge in this direction is to ensure a sustainable transportation system. The objective of this paper is to present a survey on the sustainability assurance for smart mobility systems by using the blockchain technology. Moreover, this study proposes a conceptual model for a sustainable smart mobility system that implies the usage of blockchain technology. Widely known through its connection with bitcoin and other cryptocurrencies, blockchain can serve the safety and security requirements that are specific to intelligent transportation systems ...

EDULEARN Proceedings, 2021

Sustainability

During the COVID-19 pandemic, due to the high infection rates, in some periods, a hybrid or total... more During the COVID-19 pandemic, due to the high infection rates, in some periods, a hybrid or totally online educational system was used. In both types of fully online and hybrid educational processes, the need for online educational platforms arose. This research aims to provide a comparative overview of the expectations for these platforms using the responses of two successive generations of students as input by applying the Kano methodology. Furthermore, this article performs a Fong test as a relevance check to identify the features for which the Kano analysis results are statistically significant. The results of the analysis show that the expectations of students are more related to the features that describe their access to administrative resources and the technical-related features. This can be explained through a permanent need, independent of the chosen educational system (i.e., face-to-face, fully online, or hybrid) and their field of study. The use of virtual reality (VR) te...

Sustainability, 2022

This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY

2022 IEEE Technology and Engineering Management Conference (TEMSCON EUROPE)

2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)

Many cities around the world implement the Intelligent Transportation Systems (ITS) concept to re... more Many cities around the world implement the Intelligent Transportation Systems (ITS) concept to reduce road traffic congestion. This concept implies the usage of Internet of Things (IoT) technologies to ensure a better traffic flow, especially in crowded urban areas. Sensors networks became part of road infrastructure and have as main responsibilities to collect real-time traffic data and to send them to Traffic Management Centres (TMCs) which control further the traffic lights timings. Today’s technologies meet some limitations in terms of efficiency. This paper starts with an overview of these limitations to create a path for discussing the challenges that the development of ITS will meet in the context of Future Networks (FN) 2030 concept. Based on this development path, the identification of current limitations and possible future challenges consists of an important step of this research. Further, the main contribution in this research is to show how the ITS shall adapt to meet the requirements of FN 2030 by providing an architecture for Future ITS 2030 that meets the general ITS needs.

2019 4th MEC International Conference on Big Data and Smart City (ICBDSC), 2019

Traffic became one of the highest nowadays problems. The number of cars on the road is continuall... more Traffic became one of the highest nowadays problems. The number of cars on the road is continually increasing and solutions to improve the traffic conditions are mandatory. We cannot prohibit people to use vehicles, but we can help them by using a traffic management system. The purpose of these systems is to update in real-time the timing of traffic signals, to reduce the traffic congestion. ITS (Intelligent Transportation Systems) is the concept associated with these approaches. The purpose of this paper is to bring a new solution to improve traffic conditions. Starting from a microscopic traffic model, we propose an improvement of OD (Origin-Destination) matrix estimation. This estimation will be capable to lead to better green intervals choosing for traffic signals. Our approach brings a new algorithm for traffic management, at traffic OD volumes estimation level, that combines the probabilistic concept of Bayes inference with absorbing Markov process. These estimations can be fu...

2020 International Conference Engineering Technologies and Computer Science (EnT), 2020

Traffic flow optimization is one of the main directions of research in transportation science, es... more Traffic flow optimization is one of the main directions of research in transportation science, especially in the ITS (Intelligent Transportation Systems) field. Mobility affects each of us through the congestion problems by travel time increasing. The current paper provides an analysis of traffic flow management at the intersection level, concentrating on the intersection configuration methods. The main parameters of interest are the number of vehicles that succeed to cross the road network and the evolution of travel time values. To determine the better decision for intersection configuration, in terms of reducing the level of congestion, a simulation will be created in AnyLogic Simulation Software. Road Traffic Library of the simulation tool will ensure the obtaining of relevant results and the results of their comparison will decide which intersection configuration method offers reduced travel times and a higher number of vehicles that are crossing the road network.

Sensors

Nowadays, the intelligent transportation concept has become one of the most important research fi... more Nowadays, the intelligent transportation concept has become one of the most important research fields. All of us depend on mobility, even when we talk about people, provide services, or move goods. Researchers have tried to create and test different transportation models that can optimize traffic flow through road networks and, implicitly, reduce travel times. To validate these new models, the necessity of having a calibration process defined has emerged. Calibration is mandatory in the modeling process because it ensures the achievement of a model closer to the real system. The purpose of this paper is to propose a new multidisciplinary approach combining microscopic traffic modeling theory with intelligent control systems concepts like fuzzy inference in the traffic model calibration. The chosen Takagi–Sugeno fuzzy inference system proves its adaptive capacity for real-time systems. This concept will be applied to the specific microscopic car-following model parameters in combinat...

Journal of Sensor and Actuator Networks

One of the current topics of interest in transportation science is the use of intelligent computa... more One of the current topics of interest in transportation science is the use of intelligent computation and IoT (Internet of Things) technologies. Researchers have proposed many approaches using these concepts, but the most widely used concept in road traffic modeling at the microscopic level is the car-following model. Knowing that the standard car-following model is single lane-oriented, the purpose of this paper is to present a fault detection analysis of the extension to a multiple lane car-following model that uses the Bayesian reasoning concept to estimate lane change behavior. After the application of the latter model on real traffic data retrieved from inductive loops placed on a road network, fault detection using parity equations was used. The standard car-following model applied separately for each lane showed the ability to perform a lane change action and to incorporate a new vehicle into the current lane. The results will highlight the advantages and the critical points ...

ITM Web of Conferences

The studies and real situations shown that the traffic congestion is one of nowadays highest prob... more The studies and real situations shown that the traffic congestion is one of nowadays highest problems. This problem wassolved in the past using roundabouts and traffic signals. Taking in account the number of cars that is increasing continuously, we can see that past approaches using traffic lights with fixed-time controller for traffic signals timing is obsolete. The present and the future is the using of Intelligent Transportation Systems. Traffic lights systems should be aware about realtime traffic parameters and should adapt accordingly to them. The purpose of this paper is to present a new approach to control traffic signals using rate-monotonic scheduling. Obtained results will be compared with the results obtained by using others real-time scheduling algorithms.